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Ross, Stephen L.; Brunner, Eric; Rosen, Rachel – Grantee Submission, 2020
This paper considers recent efforts to conduct experimental and quasi-experimental evaluations of career and technical education programs. It focuses on understanding the counterfactual, or control population, for these program evaluations, discussing how the educational experiences of the control population might vary from those of the treated…
Descriptors: Vocational Education, Program Evaluation, Educational Experience, Regression (Statistics)
Deke, John; Wei, Thomas; Kautz, Tim – Journal of Research on Educational Effectiveness, 2021
Evaluators of education interventions are increasingly designing studies to detect impacts much smaller than the 0.20 standard deviations that Cohen characterized as "small." While the need to detect smaller impacts is based on compelling arguments that such impacts are substantively meaningful, the drive to detect smaller impacts may…
Descriptors: Intervention, Program Evaluation, Sample Size, Randomized Controlled Trials
K. L. Anglin; A. Krishnamachari; V. Wong – Grantee Submission, 2020
This article reviews important statistical methods for estimating the impact of interventions on outcomes in education settings, particularly programs that are implemented in field, rather than laboratory, settings. We begin by describing the causal inference challenge for evaluating program effects. Then four research designs are discussed that…
Descriptors: Causal Models, Statistical Inference, Intervention, Program Evaluation
What Works Clearinghouse, 2022
Education decisionmakers need access to the best evidence about the effectiveness of education interventions, including practices, products, programs, and policies. It can be difficult, time consuming, and costly to access and draw conclusions from relevant studies about the effectiveness of interventions. The What Works Clearinghouse (WWC)…
Descriptors: Program Evaluation, Program Effectiveness, Standards, Educational Research
May, Henry; Jones, Akisha; Blakeney, Aly – AERA Online Paper Repository, 2019
Using an RD design provides statistically robust estimates while allowing researchers a different causal estimation tool to be used in educational environments where an RCT may not be feasible. Results from External Evaluation of the i3 Scale-Up of Reading Recovery show that impact estimates were remarkably similar between a randomized control…
Descriptors: Regression (Statistics), Research Design, Randomized Controlled Trials, Research Methodology
Yoon, HyeonJin – ProQuest LLC, 2018
In basic regression discontinuity (RD) designs, causal inference is limited to the local area near a single cutoff. To strengthen the generality of the RD treatment estimate, a design with multiple cutoffs along the assignment variable continuum can be applied. The availability of multiple cutoffs allows estimation of a pooled average treatment…
Descriptors: Regression (Statistics), Program Evaluation, Computation, Statistical Analysis
Yoon, HyeonJin – Grantee Submission, 2018
In basic regression discontinuity (RD) designs, causal inference is limited to the local area near a single cutoff. To strengthen the generality of the RD treatment estimate, a design with multiple cutoffs along the assignment variable continuum can be applied. The availability of multiple cutoffs allows estimation of a pooled average treatment…
Descriptors: Regression (Statistics), Program Evaluation, Computation, Statistical Analysis
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies. The impact estimators are derived using the building blocks of experimental designs with minimal assumptions, and have good statistical properties. The methods apply to randomized controlled trials (RCTs) and…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Kautz, Tim; Schochet, Peter Z.; Tilley, Charles – National Center for Education Evaluation and Regional Assistance, 2017
A new design-based theory has recently been developed to estimate impacts for randomized controlled trials (RCTs) and basic quasi-experimental designs (QEDs) for a wide range of designs used in social policy research (Imbens & Rubin, 2015; Schochet, 2016). These methods use the potential outcomes framework and known features of study designs…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies (Imbens and Rubin, 2015; Schochet, 2015, 2016). The estimators are derived using the building blocks of experimental designs with minimal assumptions, and are unbiased and normally distributed in large samples…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Miller, Robert James; Goddard, Roger D.; Kim, Minjung; Jacob, Robin; Goddard, Yvonne; Schroeder, Patricia – Educational Administration Quarterly, 2016
Purpose: This multiyear experimental study was designed to examine (1) the causal impact of McREL International's Balanced Leadership® Professional Development (BLPD) program on school principals' learning, beliefs, and behaviors and (2) whether there were differences in the types of outcomes the professional development influenced. Outcomes…
Descriptors: Faculty Development, Instructional Leadership, Principals, Leadership Training
Doss, Christopher; Fahle, Erin M.; Loeb, Susanna; York, Benjamin N. – Stanford Center for Education Policy Analysis, 2017
Recent studies show that texting-based interventions can produce educational benefits in children across a range of ages. We study the effects of a text-based program for kindergarten parents, distinguishing a general program from one that adds differentiation and personalization based on the child's developmental level. Children in the…
Descriptors: Kindergarten, Intervention, Educational Benefits, Child Development
DeCesare, Dale; McClelland, Abby; Randel, Bruce – Regional Educational Laboratory Central, 2017
This study evaluates the impact of the Retired Mentors for New Teachers program, a two-year mentoring program at the elementary school level developed by Aurora Public Schools in Colorado. Many of the district's schools serve a large percentage of economically disadvantaged children, experience high teacher turnover, and hire newer, less…
Descriptors: Mentors, Beginning Teachers, Elementary School Teachers, Program Evaluation
Miller, Sarah; Davison, Jenny; Yohanis, Jamie; Sloan, Seaneen; Gildea, Aideen; Thurston, Allen – Education Endowment Foundation, 2017
This report presents the findings from an efficacy trial and process evaluation of the Parent Engagement Programme (PEP). The PEP was a school-level intervention designed to improve pupil outcomes by engaging parents in their children's learning. The programme was developed collaboratively by research teams from the University of Bristol and…
Descriptors: Parent Participation, Parent School Relationship, Secondary School Students, Foreign Countries
Lord, Pippa; Bradshaw, Sally; Stevens, Eleanor; Styles, Ben – Education Endowment Foundation, 2015
The Perry Beeches Coaching Programme aimed to improve the reading and writing skills of Year 7 pupils with low levels of attainment in four English secondary schools. Across the project, 16 coaches were employed to provide academic support to pupils who had not reached level 4c in English at the end of Key Stage 2. Originally it had been intended…
Descriptors: Reading Skills, Writing Skills, Coaching (Performance), Secondary School Students